A machine learning approach to understanding freshwater salinization dynamics and winter season controls in the Northeast United States
- DOI
- 10.1016/j.jenvman.2026.131304
- Published
- 2026-11
- Container
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2026.131304,
title = {A machine learning approach to understanding freshwater salinization dynamics and winter season controls in the Northeast United States},
author = {Meghna Rajbhandari and Gbenga Daniels and Amanda Carneiro Marques},
year = {2026},
journal = {Journal of Environmental Management},
doi = {10.1016/j.jenvman.2026.131304},
url = {https://doi.org/10.1016/j.jenvman.2026.131304}
}RIS
TY - JOUR TI - A machine learning approach to understanding freshwater salinization dynamics and winter season controls in the Northeast United States AU - Meghna Rajbhandari AU - Gbenga Daniels AU - Amanda Carneiro Marques PY - 2026 JO - Journal of Environmental Management DO - 10.1016/j.jenvman.2026.131304 UR - https://doi.org/10.1016/j.jenvman.2026.131304 ER -
APA
Rajbhandari, M., Daniels, G., & Marques, A. C. (2026). A machine learning approach to understanding freshwater salinization dynamics and winter season controls in the Northeast United States. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2026.131304
Source records
- crossref · retrieved 2026-11-07T19:31:29.998Z